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DataPython

Reconciliation

Reconciliation is a Data skill for Claude Code, published by anthropics in knowledge-work-plugins.

22.6K stars2.7K forkson anthropics/knowledge-work-pluginsAdded 2026/07/14Repository updated 2026/07/14

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Install in seconds

Install Reconciliation

Copy Reconciliation into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/anthropics/knowledge-work-plugins/tree/main/finance/skills/reconciliation ~/.claude/skills/reconciliation

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/anthropics/knowledge-work-plugins.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: finance/skills/reconciliation/SKILL.md in anthropics/knowledge-work-plugins
Installs to: ~/.claude/skills/reconciliation
Collection: One of 26 skills cataloged from this repository
Category: Data — 812 skills

What Reconciliation does

Reconcile accounts by comparing GL balances to subledgers, bank statements, or third-party data. Use when performing bank reconciliations, GL-to-subledger recs, intercompany reconciliations, or identifying and categorizing reconciling items.

Reconciliation is cataloged under Data on DirSkills.

Documentation

README

Excerpt

Reconciliation

Important: This skill assists with reconciliation workflows but does not provide financial advice. All reconciliations should be reviewed by qualified financial professionals before sign-off.

Methodology and best practices for account reconciliation, including GL-to-subledger, bank reconciliations, and intercompany. Covers reconciling item categorization, aging analysis, and escalation.

Reconciliation Types

GL to Subledger Reconciliation

Compare the general ledger control account balance to the detailed subledger balance.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Reconciliation

What else does anthropics publish alongside Reconciliation?
Reconciliation is one of 26 skills that DirSkills catalogs from anthropics/knowledge-work-plugins, the repository it ships in. Its siblings there include Accessibility Review, Analyze Data and Bio-Research Start. Each one is a separate skill with its own page in this directory, installs the same way Reconciliation does, and is maintained by anthropics in that same repository. The rest of the collection is listed on the anthropics/knowledge-work-plugins page.
How does Reconciliation compare to other Data skills?
Reconciliation ranks #95 by stars among the 812 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Reconciliation against them. Open each page to compare what they document and how they install.

More from anthropics/knowledge-work-plugins

Reconciliation is one of 26 skills cataloged on DirSkills from anthropics/knowledge-work-plugins.

See all 26 skills →

Accessibility Review

Run a WCAG 2.1 AA accessibility audit on a design or web page. Use when reviewing color contrast, keyboard navigation, touch target size, or screen reader behavior before handoff.

Analyze Data

Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.

Bio-Research Start

Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.

Bioinformatics Pipelines

Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use for analyzing RNA-seq, WGS/WES, or ATAC-seq data from local FASTQs or public GEO/SRA datasets.

Build Dashboard

Build a self-contained HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable report, building a team monitoring snapshot, or needing a browser-openable file with multiple charts and filters.

Cowork Plugin Customization

Customize a Claude Code plugin for a specific organization's tools and workflows. Use when setting up or modifying a plugin's configuration to match team conventions and services.

More Data skills

Reconciliation is one of 812 Data skills cataloged on DirSkills, ranked #95 by stars among them.

Browse all Data skills →

Benchmark Methodology

Benchmark Methodology scores competitors across nine weighted dimensions using explicit 1–5 rubrics and a tension plot. Use it after competitive-platform-analysis to produce comparable, evidence-anchored profile cards for a competitive report.

Jupyter Notebook

Jupyter Notebook provides a stateful Python REPL via a live Jupyter kernel (hamelnb) so variables persist across executions. Use it for iterative data exploration, API inspection, and complex code development.

Solana

Solana queries wallets, token holdings, transactions, NFTs, whale transfers, and network stats on the Solana blockchain with USD pricing via CoinGecko. Use it when you need to inspect an address, verify a transaction, check token metadata or prices, or monitor network health.